Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
NirDiamant/Agent_Memory_Techniques
View on GitHub ↗Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Agent_Memory_Techniques grew +4.3% in the last 30 days, ranks 413th of 1,545 in Memory & Knowledge (RAG), actively maintained, last commit 3 days ago.
Star trajectory
126 days tracked+4.3% in 30d, above the Memory & Knowledge (RAG) median of +1.0%.
Last commit 3 days ago, fresher than the median of 17d.
How it compares in Memory & Knowledge (RAG)
Ranked 413th of 1,545 by stars.
- Language
- Jupyter Notebook
- License
- Apache License 2.0
- Contributors
- 3
- Forks
- 141
- Watchers
- 6
- Open issues
- 0
- Releases
- 1
- Created
- 2026-05-05
- Stars this week
- +12
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